Gwilliam, M.
* 2020: Intelligent Image Collection: Building the Optimal Dataset
* 2021: Fair Comparison: Quantifying Variance in Results for Fine-grained Visual Categorization
* 2021: Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets
* 2022: Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
* 2023: HNeRV: A Hybrid Neural Representation for Videos
* 2024: Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition
Includes: Gwilliam, M. Gwilliam, M.[Matthew] Gwilliam, M.[Matt]
Gwillym Margianto, S.[Sarah]
* 2012: Scale-specific Hyperspectral Remote Sensing Approach in Environmental Research
Includes: Gwillym Margianto, S.[Sarah] Gwillym-Margianto, S.[Sarah]
Gwilt, D.
* 2004: Assessing the performance of an automated video ground truthing application